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AI Content Optimizer — Help & Documentation

Use AI to analyze and optimize your content for SEO, readability, and engagement. Bring your own Anthropic or OpenAI API key — your key is never stored server-side.

AI-Powered Features
  • Content quality scoring
  • Readability analysis and improvement suggestions
  • SEO keyword optimization suggestions
  • Semantic keyword recommendations
  • Content structure optimization
  • Tone and style analysis
  • Featured snippet optimization tips

How AI Analysis Works
1

Content Ingestion — paste your content or provide a URL to analyze.

2

AI Processing — your content is sent to the LLM (Anthropic or OpenAI) via your API key.

3

Multi-factor Scoring — evaluates SEO, readability, and engagement dimensions.

4

Intelligent Suggestions — get specific, actionable recommendations.

5

Optimization Roadmap — prioritized list of improvements to implement.


Analysis Dimensions
SEO Optimization
  • Keyword density and distribution
  • Semantic keyword opportunities
  • Title and heading optimization
  • Meta description suggestions
  • Internal linking opportunities
Content Quality
  • Readability score (Flesch-Kincaid)
  • Sentence structure analysis
  • Vocabulary complexity
  • Content completeness
  • Topic coverage depth
User Engagement
  • Emotional tone analysis
  • Call-to-action effectiveness
  • Content flow and structure
  • Engagement trigger identification
  • Social sharing potential
Technical SEO
  • Content length optimization
  • Paragraph and sentence length
  • Image and media recommendations
  • Schema markup suggestions
  • Featured snippet optimization

AI Recommendation Types
Quick Wins

High-impact, easy-to-implement changes

Moderate Changes

Content restructuring and enhancement

Strategic Improvements

Long-term content strategy enhancements


Best Practices for AI Optimization
Advanced Features

Content Expansion Suggestions: The AI identifies topics and subtopics that could enhance your content's comprehensiveness and authority in your niche.


A/B Testing: Test AI suggestions against your original content to measure real-world impact before committing to changes.


Regular Updates: Re-analyze content quarterly as search trends and AI guidance evolve.

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